Detecting change in the satellite images using Principal Component Analysis(PCA) and K-means Clustering Tehchniques.
- About the Project
- Getting Started
- Usage
- Results and Demo
- Future Work
- Troubleshooting
- Contributors
- Acknowledgements and Resources
- License
The aim of the project is to detect the changes in the forest cover of a speciffic area from the satellite images which are already denoised and registered. The process involves the concept of PCA for analyzing the principal components of the image in order to form a vector set which can be further clustered into smaller and significant groups. Clusteing involves the K-means clustering algorithm which is further used to detect the change. Refer this documentation.
Software used for this project :
Clone the repo
git clone https://github.com/Bhumika-Kothwal/Change-Detection-Using-Satellite-Images.git| Input Image 1 | Input Image 2 | Output Image |
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- MENTORS
- MEMBERS
- SRA VJTI
- IEEE research papers